Personalized machine learning approach to predict candidemia in medical wards
Author:
Funder
Gilead Foundation
Publisher
Springer Science and Business Media LLC
Subject
Infectious Diseases,Microbiology (medical),General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s15010-020-01488-3.pdf
Reference51 articles.
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2. Marchetti O, Bille J, Fluckiger U, et al. Epidemiology of candidaemia in Swiss tertiary care hospitals: secular trends, 1991–2000. Clin Infect Dis. 2004;38:311–20.
3. Morrell M, Fraser VJ, Kollef MH. Delaying the empiric treatment of Candida bloodstream infection until positive blood culture results are obtained: a potential risk factor for hospital mortality. Antimicrob Agents Chemother. 2005;49:3640–5.
4. Zimlichman E, Henderson D, Tamir O, et al. Health care-associated infections: a meta-analysis of costs and financial impact on the US health care system. JAMA Intern Med. 2013;173:2039–46.
5. Cleveland AA, Farley MM, Harrison LH, et al. Changes in incidence and antifungal drug resistance in candidemia: results from population-based laboratory surveillance in Atlanta and Baltimore, 2008–2011. Clin Infect Dis. 2012;55:1352–61.
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